Hosseini erfan (3 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jun 2023, 2023

    6206184226 / 9786206184225

    • Tapa blanda
    • Impresión bajo demanda

    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 79,90

    Envío por EUR 23,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recently, Python programming language is used in drilling and geoscience engineering, taught in many universities worldwide, and used in the energy sector for digitalization and automation purposes (machine learning and artificial intelligence). In this book basic to advanced concepts in writing Python codes and using different methods of artificial intelligence and machine learning have been discussed, and an attempt has been made to teach additional packages. We will discuss this language in advanced geoscience and drilling engineering topics such as Pandas, NumPy, matplotlib, Scikit-Learn, and Seaborn. In this book, various case studies and exercises of drilling and geoscience engineering have been used for better understanding. This book can improve the ability to analyze, provide solutions, and solve problems while improving the coding skills in drilling and geoscience engineering. The end goal here will be performing the operation remotely from the onshore and making the operational sequences automatic. This will reduce the operational time, reducing the cost and CO2 footprint in the environment. 644 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2023

    6206184226 / 9786206184225

    • Tapa blanda
    • Impresión bajo demanda

    Librería: moluna, Greven, Alemaniamoluna

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 61,15

    Envío por EUR 45,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Elahifar BehzadBehzad Elahifar is an associate professor at NTNU (Norwegian University of Science and Technology) in the Department of Geoscience and Petroleum Engineering, and a drilling advisor with close to two decades of experien. …

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2023

    6206184226 / 9786206184225

    • Tapa blanda
    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 87,31

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recently, Python programming language is used in drilling and geoscience engineering, taught in many universities worldwide, and used in the energy sector for digitalization and automation purposes (machine learning and artificial intelligence). In this book basic to advanced concepts in writing Python codes and using different methods of artificial intelligence and machine learning have been discussed, and an attempt has been made to teach additional packages. We will discuss this language in advanced geoscience and drilling engineering topics such as Pandas, NumPy, matplotlib, Scikit-Learn, and Seaborn. In this book, various case studies and exercises of drilling and geoscience engineering have been used for better understanding. This book can improve the ability to analyze, provide solutions, and solve problems while improving the coding skills in drilling and geoscience engineering. The end goal here will be performing the operation remotely from the onshore and making the operational sequences automatic. This will reduce the operational time, reducing the cost and CO2 footprint in the environment.…